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Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables.
The main limitation that you have with correlation and linear regression as you have. just learned how to do it is that it only works when you have TWO variables. The. problem is that most things are way too complicated to âmodelâ them with just two.